Galileo

Galileo is a platform for observing, evaluating, and applying guardrails to generative AI and agentic applications. It offers ready-made evaluations for RAG, agents, safety, and security, as well as custom evaluators. Its observability tools analyze agent behavior to identify failure modes and patterns and suggest fixes. Galileo Experiments let teams assess datasets and prompts systematically and compare experiment results. Evaluation scores can guide agent actions, tool access, and escalation paths. Developers can use Python or TypeScript SDKs or the API, with integrations including CrewAI, Google ADK, LangChain and LangGraph, OpenAI, Microsoft Agent Framework, Strands Agents, and Vercel AI SDK. Deployment choices include SaaS, Virtual Private Cloud, and on-premises. The Free plan includes 5,000 traces per month, unlimited users, and unlimited custom evaluations. Pro is $100 a month, billed yearly, for 50,000 traces per month; pricing scales with trace volume. SSO using OIDC or SAML is limited to a customer's own Galileo cluster, not the free version or hosted app.galileo.ai service.

Galileo combines evaluation, observability, and guardrails for AI applications, with SDKs, API access, and multiple deployment choices. Check trace limits and the SSO restrictions against your needs before choosing a plan.

Galileo is designed for engineers, product managers, and subject matter experts building AI applications. It may suit teams that need evaluations, behavior analysis, or deployment options beyond SaaS.

Galileo is a platform for evaluating, observing, and governing generative-AI and agentic applications. It is aimed at engineers, product managers, and subject-matter experts who need evidence about behavior as well as controls over what an agent does. The strongest reason to choose it is the connection between evaluation results and runtime guardrails; trace quotas and deployment-specific SSO will determine whether it fits your organization.

Overview

Galileo brings testing, production observability, experiments, and guardrails into one workflow. Its analysis looks for agent failure modes and recurring patterns, then helps teams identify fixes. Evaluation scores can be used to influence agent actions, tool access, and escalation paths, so checks can become operational decisions rather than reports that sit apart from the application.

Python and TypeScript SDKs and an API support implementation choices. Documented integrations cover CrewAI, Google ADK, LangChain and LangGraph, OpenAI, Microsoft Agent Framework, Strands Agents, and Vercel AI SDK. Galileo was founded in 2021.

Key features

Evaluation and experiments

Built-in evaluations address RAG, agents, safety, and security, while custom evaluators let teams encode application-specific criteria. Experiments provide a structured way to compare datasets, prompts, and runs. Prompt versioning, custom metrics, LLM-as-a-judge, safety evaluations, human-review workflows, and CI/CD integration make the product useful from development through release review. Teams wanting only a lightweight local test runner may find this broader platform more than they need.

Observability and guardrails

Galileo’s observability focuses on agent behavior, failure patterns, and suggested remediation. The guardrail workflow can use evaluation scores to restrict tools, alter actions, or escalate cases. That combination suits applications where unsafe or unreliable behavior must trigger a response, not merely be measured.

Access and integration model

Role-based access control is included, with groups for paid customers. SSO supports OIDC and SAML, but only on a customer’s own Galileo cluster; it is not included with the free version or the hosted app.galileo.ai service. That restriction matters to organizations whose identity policy requires SSO on a hosted deployment.

Pricing

Free

The Free plan has no listed price and includes 5,000 traces per month, unlimited users, and unlimited custom evaluations. It is a sensible way to establish evaluation workflows or run a modest application, but the trace ceiling can become the limiting factor as usage grows. It does not include the cluster-based SSO arrangement offered to qualifying deployments.

Pro

Pro costs $100 a month, billed yearly. It raises the allowance to 50,000 traces per month and adds standard RBAC, advanced analytics and insights, and dedicated Slack support. Pricing scales with the number of traces, so the annual commitment and expanding usage should be part of the budget calculation. This is the practical tier for teams that need richer analysis and support without enterprise deployment requirements.

Enterprise

Enterprise uses custom billing and offers unlimited traces, custom rate limits, hosted, VPC, or on-premises deployment, enterprise-grade RBAC and SSO, a dedicated customer success manager, real-time guardrails, low-latency dedicated inference servers, forward deploy, and 24/7 support through Slack, email, or phone. It is the appropriate choice when security, scale, deployment control, or round-the-clock assistance outweighs the need for a published price.

Platforms

Galileo is offered through an API, web access, and self-hosted deployment. The deployment menu also includes SaaS, Virtual Private Cloud, and on-premises options. SDK access through Python and TypeScript makes it suitable for teams that want instrumentation in code rather than a web-only workflow.

Who it's for

Choose Galileo if your team operates RAG or agentic systems and wants evaluation, behavioral visibility, and action controls in the same product. It is particularly well matched to organizations using its documented framework integrations and to teams that need custom evaluators, human review, or CI/CD checks. Smaller projects with low trace volume may be well served by Free; teams requiring hosted SSO, unlimited traces, or formal support should look at Enterprise. A project seeking only open-source, local evaluation may prefer a narrower alternative.

Pros and cons

• Pro: Evaluation scores can drive tool access, actions, and escalation, linking quality checks to runtime safety.
• Pro: RAG, agent, safety, and security evaluations plus custom metrics and evaluators cover varied application requirements.
• Pro: SaaS, VPC, on-premises, API, SDK, and self-hosted choices support different architecture and governance needs.
• Con: Free is capped at 5,000 traces per month, while Pro’s 50,000-trace allowance and annual billing may not suit rapidly changing workloads.
• Con: SSO is limited to a customer’s own Galileo cluster, excluding the free version and hosted app.galileo.ai service.

Alternatives

For a broader category comparison, see LLM Evaluation Tools, AI Agent Evaluation Tools, and AI Agent Observability Tools. Braintrust is a freemium API, self-hosted, and web option with a free Starter tier offering 1 GB of processed data, 10,000 scores, 14-day retention, and unlimited users, projects, and datasets. Confident AI has a free tier limited to two seats, one project, five test runs per week, and 1 GB-month of trace spans. DeepEval is a free, Apache 2.0 open-source framework with a local and CI/CD test runner, making it preferable when you want a code-first tool without a paid platform. Promptfoo offers a free Community plan with 10,000 red-team probes per month, all LLM evaluation features, broad provider integrations, and local or self-hosted use.

Verdict

Galileo is a strong choice for teams building serious AI agents or RAG applications that need evaluation, observability, and guardrails connected in one operating model. Pick it for the framework integrations, customizable experiments, and ability to turn scores into controls. Look elsewhere if your workload is small, you require hosted SSO on the free or standard web service, or you want a purely open-source local evaluator.